Package: tidytuesdayR 1.3.2.9000

tidytuesdayR: Access the Weekly 'TidyTuesday' Project Dataset
'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
Authors:
tidytuesdayR_1.3.2.9000.tar.gz
tidytuesdayR_1.3.2.9000.zip(r-4.7)tidytuesdayR_1.3.2.9000.zip(r-4.6)tidytuesdayR_1.3.2.9000.zip(r-4.5)
tidytuesdayR_1.3.2.9000.tgz(r-4.6-any)tidytuesdayR_1.3.2.9000.tgz(r-4.5-any)
tidytuesdayR_1.3.2.9000.tar.gz(r-4.7-any)tidytuesdayR_1.3.2.9000.tar.gz(r-4.6-any)
tidytuesdayR_1.3.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidytuesdayR/json (API)
| # Install 'tidytuesdayR' in R: |
| install.packages('tidytuesdayR', repos = c('https://dslc-io.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dslc-io/tidytuesdayr/issues
Pkgdown/docs site:https://dslc-io.github.io
Last updated from:7b8b3fd05d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 213 | ||
| linux-release-x86_64 | OK | 172 | ||
| macos-release-arm64 | OK | 193 | ||
| macos-oldrel-arm64 | OK | 268 | ||
| windows-devel | OK | 107 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 160 |
Exports:%>%last_tuesdayreadmett_availablett_cleantt_curate_datatt_datasetstt_downloadtt_download_filett_intrott_loadtt_load_ghtt_metatt_save_datasettt_submituse_tidytemplate
Dependencies:askpassbitbit64clicliprcpp11crayoncurldplyrgenericsgitcredsgluehmshttrhttr2inijsonlitelifecyclelubridatemagrittrmimeopensslpillarpkgconfigprettyunitsprogresspurrrR6rappdirsreadrrlangrvestselectrstblstringistringrsystibbletidyrtidyselecttimechangetzdbutf8vctrsvroomwithrxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find the most recent tuesday | last_tuesday |
| print methods of the tt objects | print.tt print.tt_data printing |
| Readme HTML maker and Viewer | readme |
| Listing all available TidyTuesdays | tt_available tt_datasets |
| Create and open cleaning.R | tt_clean |
| Guidance for TidyTuesday dataset curation | tt_curate_data |
| Download TidyTuesday data | tt_download |
| Download a TidyTuesday dataset file | tt_download_file |
| Create and open intro.md | tt_intro |
| Load TidyTuesday data from Github | tt_load |
| Load TidyTuesday data from Github | tt_load_gh |
| Create and open meta.yaml | tt_meta |
| Printing Utilities for Listing Available Datasets | print.tt_dataset_table print.tt_dataset_table_list tt_print |
| Save datasets for submission | tt_save_dataset |
| Submit a TidyTuesday dataset | tt_submit |
| Create and open the tidytemplate | use_tidytemplate |
